Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
MLLM-based Textual Explanations for Face Comparison
arXiv:2603.16629v3 Announce Type: replace-cross Abstract: Multimodal Large Language Models (MLLMs) have recently been proposed as a means to generate natural-language…
When Chain-of-Thought Backfires: Evaluating Prompt Sensitivity in Medical Language Models
arXiv:2603.25960v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly deployed in medical settings, yet their sensitivity to prompt…
How Open Must Language Models be to Enable Reliable Scientific Inference?
arXiv:2603.26539v1 Announce Type: cross Abstract: How does the extent to which a model is open or closed impact the scientific…
The Multi-AMR Buffer Storage, Retrieval, and Reshuffling Problem: Exact and Heuristic Approaches
arXiv:2603.26542v1 Announce Type: cross Abstract: Buffer zones are essential in production systems to decouple sequential processes. In dense floor storage…
Efficient Detection of Bad Benchmark Items with Novel Scalability Coefficients
arXiv:2603.24999v2 Announce Type: replace-cross Abstract: The validity of assessments, from large-scale AI benchmarks to human classrooms, depends on the quality…
Neuro-Symbolic Process Anomaly Detection
arXiv:2603.26461v1 Announce Type: cross Abstract: Process anomaly detection is an important application of process mining for identifying deviations from the…
Gelina: Unified Speech and Gesture Synthesis via Interleaved Token Prediction
arXiv:2510.12834v3 Announce Type: replace-cross Abstract: Human communication is multimodal, with speech and gestures tightly coupled, yet most computational methods for…
Powerful Teachers Matter: Text-Guided Multi-view Knowledge Distillation with Visual Prior Enhancement
arXiv:2603.24208v1 Announce Type: cross Abstract: Knowledge distillation transfers knowledge from large teacher models to smaller students for efficient inference. While…